interaction.plot

Implementation of Sequential BATTing (bootstrapping and aggregating of thresholds from trees) for developing threshold-based multivariate (prognostic/predictive) biomarker signatures. Variable selection is automatically built-in. Final signatures are returned with interaction plots for predictive signatures. Cross-validation performance evaluation and testing dataset results are also output. Detail algorithms are described in Huang et al (2017) <doi:10.1002/sim.7236>.

Xin Huang

SubgrpID

Patient Subgroup Identification for Clinical Drug Development

Yan Sun

Saptarshi Chatterjee

Paul Trow

interaction.plot function

<dl><dt>data.eval</dt>
<dd>output of evaluate.results or summarize.cv.stats</dd>
<dt>type</dt>
<dd>data type - "c" - continuous , "b" - binary, "s" - time to event - default = "c".</dd>
<dt>main</dt>
<dd>title of the plot</dd>
<dt>trt.lab</dt>
<dd>treatment label</dd></dl>

Arguments

interaction.plot — interaction.plot

<dl>

<dt>data.eval</dt>
<dd>output of evaluate.results or summarize.cv.stats</dd>


<dt>type</dt>
<dd>data type - "c" - continuous , "b" - binary, "s" - time to event - default = "c".</dd>


<dt>main</dt>
<dd>title of the plot</dd>


<dt>trt.lab</dt>
<dd>treatment label</dd>

</dl>

interaction.plot: interaction.plot

Description

Usage

Value

Arguments

Details